449 citations · 945 across the 13 of their papers we have counts for
6 papers · 1 filter
Adaptive Neural Network Ensemble Using Frequency Distribution
Ungki Lee, Namwoo Kang
Neural network (NN) ensembles can reduce large prediction variance of NN and improve prediction accuracy. For highly nonlinear problems with insufficient data set, the prediction a…
Topology Optimization via Machine Learning and Deep Learning: A Review
Seungyeon Shin, Dongju Shin, Namwoo Kang
Topology optimization (TO) is a method of deriving an optimal design that satisfies a given load and boundary conditions within a design domain. This method enables effective desig…
Wheel Impact Test by Deep Learning: Prediction of Location and Magnitude of Maximum Stress
Seungyeon Shin, Ah-hyeon Jin, Soyoung Yoo +4
For ensuring vehicle safety, the impact performance of wheels during wheel development must be ensured through a wheel impact test. However, manufacturing and testing a real wheel…
Deep Learning-Based Inverse Design for Engineering Systems: Multidisciplinary Design Optimization of Automotive Brakes
Seongsin Kim, Minyoung Jwa, Soonwook Lee +2
The braking performance of the brake system is a target performance that must be considered for vehicle development. Apparent piston travel (APT) and drag torque are the most repre…
Idle Vehicle Relocation Strategy through Deep Learning for Shared Autonomous Electric Vehicle System Optimization
Seongsin Kim, Ungki Lee, Ikjin Lee +1
In optimization of a shared autonomous electric vehicle (SAEV) system, idle vehicle relocation strategies are important to reduce operation costs and customers' wait time. However,…
Deep Generative Design: Integration of Topology Optimization and Generative Models
Sangeun Oh, Yongsu Jung, Seongsin Kim +2
Deep learning has recently been applied to various research areas of design optimization. This study presents the need and effectiveness of adopting deep learning for generative de…